library("plyr") library("dplyr") library("rgdal") library("sf") library(maptools) library("...
p = ggplot(iris, aes(x = Sepal.Length)) + geom_histogram( aes(y = after_stat(density)), binwidth = 0.1, fill = 'skyblue', color = 'black' ) + stat_density( geom = 'line', color = 'black', linetype = 2, linewidth = 1, adjust = 2 # 带宽,default = 1 ) + theme_bw(...
ggplot() + geom_density(aes(density.1), stat = "bin", bins = 20, col = "black") 直方图和折线图的纵轴都是「计数」,而密度图的纵轴是「比例」,那能不能把折线图或直方图的纵轴也换成比例呢? 可以的。因为统计变换bin生成的结果是count,它以隐形变量的形式被当作y参数。使用after_stat()函数可以...
代码语言:javascript 代码运行次数:0 运行 AI代码解释 ggplot(mpg,aes(x=displ,y=..density..))+geom_histogram() image 但是新版本可以用after_stat()来实现: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ggplot(mpg,aes(x=displ))+geom_histogram(aes(y=after_stat(density))) 也可以直接调整颜色...
To add a probability density line to the histogram, we first change the y-axis to be scaled to density. In the aes() function, we set y to after_stat(density). We can then add a density layer to our graph using the geom_density() function. Here we set the color attribute to gr...
stat_density()表示添加统计学中的密度曲线,进行密度估计。geom=line指定为线形,position=identity表示一个一一映射,size=1.5是强制修改线的尺寸,为原先的1.5倍。最后的aes(colour=factor(year))为修改拟合密度曲线的颜色,这里就是用的colour=而不是fill= 3)条形图 p2-ggplot(mpg,aes(x=class)) p2+geom_bar(...
我试着将变量放在aes()内部和外部,但没有任何东西允许我生成这个图。如何生成分布图并将其添加到较大的其他ggplot中。我知道我必须重新缩放n的值才能适应绘图中点下方的空间,但我如何设置绘图以接受n作为geom_density中计数的变量? geom_densitystat = "identity" ...
4)#> sex weight#> 1 F 53.79293#> 2 F 55.27743#> 3 F 56.08444#> 4 F 52.65430#Density plot with mean lines and marginal rug#:::#Change outline and fill colors by groups ("sex")#Use custom paletteggdensity(wdata,x="weight",add="mean",rug=TRUE,color="sex",fill="sex",palette=c...
tidy_movies %>% distinct(title, year, length, .keep_all=TRUE) %>% ggplot(aes(x=Genres)) + geom_bar() + geom_text(stat='count', aes(label=after_stat(count)), vjust=-1) + scale_x_upset(n_intersections = 20) + scale_y_continuous(breaks = NULL, lim = c(0, 1350), name =...
cheatsheet Even the most experienced R users need help creating elegant graphics. Theggplot2library is a phenomenal tool for creating graphics in R but even after many years of near-daily use we still need to refer to our Cheat Sheet. Up until now, we’ve kept these key tidbits on a ...